Signal Processing Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Signal Processing
Ljubomir O.
Last position:
Senior Software Test Engineer at Keil KTM GmbH
Temporary employment
- System black-box integration tests (BBIT, IVVQ): Execution of regression, release, confirmation and conformity tests for safety-critical braking control units in the railway industry
- Software Test Application & Integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies and component interactions
- Test Automation (FEAT Framework): Co-development and further development of an automated test framework for test execution, reporting and result analysis
- Functional Safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage as well as conformity with EN50126/28/29
- Test Automation for Communication Components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
- Requirements Analysis & Shift-Left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities and redundancies early in the SDLC
- Test Design & Test Case Development: Derivation of test conditions and coverage strategies and implementation of data-driven test cases (DDT) including reusable test data fixtures
- CI/CD & Automation (Python, PowerShell, Jenkins, SVN): Automation of build, test and HIL deployment processes as well as integration into CI/CD pipelines
- Test Data & Configuration Management (XML): Maintenance and adjustment of XML test vectors and system configurations with automated integration into test environments
- Non-Functional Testing: Execution of performance and load tests to assess stability and system behavior
- Agile Development & Defect Management (JIRA, Confluence): Work in Scrum teams, test coordination, review of test artifacts as well as defect tracking and root-cause analysis
- Error Analysis & Debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system levels (application to bus)
- Model-Based Analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
- Process & Test Documentation: Creation of integration and test documentation according to internal quality and certification requirements
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development High-Performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Hussein K.
Last position:
QA and Test Automation Engineer at Intel
- Verified internal and external semiconductor technologies to support the release of design packages.
- Developed automated testing environments using Bash and Python to streamline verification workflows.
- Created and maintained TCL scripts to configure ivars and automate testbench execution.
- Performed comprehensive validation of technology libraries and Verilog files.
- Used a range of industry-standard EDA tools, including Fusion Compiler, Innovus, ICV, Calibre (Mentor Graphics), and Seascape (Ansys).
- Conducted root cause analysis to debug and resolve issues across various tool flows.
- Defined and tracked QoR (Quality of Results) metrics to provide a high-level view of design package health.
- Optimized test runtime and resource usage to improve efficiency and turnaround time.
Kyung P.
Last position:
Expert, Design-to-Mask Preparation at Robert Bosch Semiconductor Manufacturing Dresden
- Led end-to-end tape-out and photomask preparation for a 300mm automotive semiconductor program, ensuring manufacturability, data integrity, and compliance with automotive quality standards, frame generation, multi-die placement
- Identified and mitigated manufacturing-readiness risks during technology transfer (TI / TSMC 45nm) by implementing reticle, kerf, and alignment optimizations, reducing re-spin exposure, creating alignment, overlay markers, metrology targets, CD-control features, PDM cell
- Coordinated cross-functional stakeholders across design, lithography, manufacturing, and mask vendors to deliver a production-ready mask set under strict schedule constraints
- Performed and calibrated model-based OPC for the 110 nm node, leveraging RET strategies in collaboration with the photolithography modeling team
- Impact: Enabled on-time production release of a safety-critical automotive semiconductor by mitigating tape-out and manufacturability risks under strict quality and yield
Torsten W.
Last position:
Product Owner at Beyonnex
Initial technical analysis of the requirements for the two applications
Creating a system concept for the interim solution and for the final solution
Creating the product vision, customer journey, and story map for the interim solution in close cooperation with subject matter experts
Building a development team
Managing dependencies and interfaces with the other applications according to Domain Driven Design principles
Creating EPICs and user stories, and maintaining the product backlog in coordination with subject matter experts and developers
Running sprint reviews with relevant stakeholders such as subject matter experts and management
Analyzing the requirements for the final solution
The interim solution was built within 8 months and was successfully used for the 2022 heating cost billing
The interim solution has since been further developed to increase automation
A technical concept for the final solution was created
Handover to two internal Product Owners is currently in progress
Juan S.
Last position:
Embedded Software Consultant at Embedded Software Consulting
- Development of a solar charge controller on an STM32 platform running FreeRTOS
- Development of embedded DSP software for automotive audio applications. Real-time signal processing software using C and Python/NumPy
- Development of serial drivers (SPI, I2C, UART) and real-time components in C for an electricity meter telemetry platform
- Unit testing with Unity and integration testing with Python
Maryam S.
Last position:
Hardware and Control Engineer at Technical University of Munich
- Developed a 6 kW AC-DC power converter for automotive applications.
- Selected and tested SiC MOSFETs, gate drivers, diodes, and high-voltage capacitors.
- Created schematics and designed multilayer PCBs in Altium Designer.
- Collaborated with software and mechanical teams for system integration.
- Developed an advanced control strategy for traction inverters.
- Implemented and tested control algorithms in MATLAB/Simulink.
- Conducted detailed efficiency, power factor, and common-mode current measurements.
András B.
Last position:
Test Equipment Developer at Minebea Access Solutions
- Tested passenger car opening handle at system level integrating hardware, software and mechanics
- Built and provided complete test equipment for system testers using Arduino boards, Saleae Logic analyser, oscilloscope, multimeter, RLC meter, programmable power supplies and function generators
- Developed system testing concepts and constructed manual system test bench
- Supported system testers with hardware and software tools
- Products: BMW XNF, Rolls Royce, Audi eRing, JLR (Jaguar-Land-Rover)
Christian E.
Last position:
Managing Director at Eigner Elektro
- Leading the company
- Strategic planning and business development
- Overseeing operational processes
Muhammad H.
Last position:
Working Student Electrical Engineer Automation at ANDRITZ Gmbh
- Worked on TexManager
- Cost management of PLCs
- Worked on control logics through PLC programming for different changes in automated systems
Lukas F.
Last position:
Production & sale of digital content, secondary business at Sole proprietorship
Discover over 15,000 top freelancers
Statistics of experts using Signal Processing
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 17 years)
Position duration
2.8 years (Germany: 2.2 years)
Positions per freelancer
11 (Germany: 10)
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Manufacturing, Automotive, Information Technology
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
90%
Doctorate
20% (Germany: 28%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Munich using Signal Processing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Signal Processing experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Manufacturing (91%)
- Automotive (73%)
- Information Technology (64%)
- Telecommunication (55%)
- Aerospace and Defense (45%)
- Energy (36%)
- Healthcare (36%)
- Professional Services (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Signal Processing Does
Signal Processing turns recorded or measured signals into useful information. Specialists work with audio, images, radio waves, vibration, biomedical data and industrial sensor streams. Digital signal processing, or DSP, covers filtering, transformation, detection, estimation and feature extraction in software or hardware.
Systems It Supports
Signal Processing appears in products that must interpret changing real-world data reliably. Typical deliverables include:
- Audio enhancement, speech processing and acoustic analysis
- Radar, sonar and wireless communication algorithms
- Image and video filtering, compression and reconstruction
- Sensor fusion for vehicles, machines and medical devices
- Condition monitoring and predictive maintenance pipelines
Methods and Tooling
A strong professional understands sampling, quantization, Fourier analysis, digital filters, spectral estimation and statistical modelling. Common tools include MATLAB, Simulink, Python with NumPy and SciPy, GNU Radio, C or C++, and FPGA or DSP hardware. The right choice depends on latency, precision, power use and deployment constraints.
When Companies Need Specialists
Companies bring in freelance expertise when a prototype must become a dependable product, when noisy measurements block progress, or when an algorithm needs to run under strict real-time limits. Specialists can review an existing signal chain, select sensors, create test data, tune models and document the path from raw input to validated output. In Munich, this work often connects with mobility, industrial production, medical technology and communications projects.
What Good Work Delivers
Quality is visible in both the algorithm and the evidence behind it. Professionals define signal assumptions, sampling requirements and failure conditions before tuning a model. They compare results against representative data, measure latency and resource use, test edge cases, and explain trade-offs clearly to teams working across hardware, firmware and software.
Collaboration and Project Fit
Signal Processing work can be remote when data, interfaces and test environments are accessible. On-site collaboration may help when specialists need access to laboratory equipment, vehicles, production machinery or regulated devices. For projects in Munich, companies should clarify whether German-language communication is needed, which tools are fixed, and whether the expected deliverable is a research prototype, production code, FPGA design or a validated processing pipeline.
Frequently asked questions
Quick answers to the questions that come up most around Signal Processing.
Signal Processing extracts information from audio, images, radio signals, vibration, medical measurements and other changing data. It can remove noise, detect events, estimate conditions, classify patterns or prepare signals for control and automation.
Digital signal processing uses defined mathematical operations such as filtering, modulation and Fourier transforms. Machine learning can learn patterns from data, while practical products often combine both approaches to improve accuracy, explainability and resource use.
A strong DSP specialist may also work with embedded C or C++, Python, MATLAB, Simulink, FPGA workflows and wireless protocols. Knowledge of sensors, electronics, control systems, statistics and data quality is valuable because the algorithm depends on the complete measurement chain.
The required depth depends on the signal, hardware and risk involved. A simple offline analysis may need a different profile from a safety-critical radar, medical or automotive system, where validation, timing constraints and failure analysis are central.
Signal Processing projects can often be handled remotely when specialists have secure access to datasets, specifications and test environments. On-site work in Munich is more useful when the project involves laboratory instruments, vehicles, production equipment or hardware that cannot be shipped.
Signal Processing work in MATLAB can speed up exploration, visualization and model validation, while Python offers a broad open ecosystem and easier integration with software services. The decision should follow the target environment, team skills, licensing needs and route to production.
Ask how the professional handles sampling assumptions, noisy data, latency, numerical precision and validation. Good DSP work includes reproducible tests, clear baseline comparisons and evidence that the algorithm remains stable outside ideal laboratory conditions.
A Signal Processing freelancer should clarify the input format, sensor characteristics, sampling conditions, target hardware, performance limits and acceptance tests. They should also confirm who owns the data, how results will be measured and whether the deliverable is research code, production software or a hardware implementation.
The average hourly rate of freelancers in Munich, Germany who have used Signal Processing in their recent projects is 75 €, which corresponds to a daily rate of about 602 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Signal Processing in their recent projects, 100% hold at least a Bachelor's degree, 90% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Signal Processing in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Munich, Germany who have used Signal Processing in their recent projects are German (100%), English (100%), and Spanish (18%).
The most common industries among freelancers in Munich, Germany who have used Signal Processing in their recent projects are Manufacturing (91%), Automotive (73%), and Information Technology (64%).
The most common business areas among freelancers in Munich, Germany who have used Signal Processing in their recent projects are Product Development (100%), Information Technology (73%), and Quality Assurance (64%).
Main locations of FRATCH Experts, who have recently used Signal Processing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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